{"id":"W7056800498","doi":"","title":"Gexpro Services Expands Scale and Global Footprint with First Quarter 2022 Acquisitions","year":2022,"lang":"en","type":"other","venue":"","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Footprint; Quarter (Canadian coin); Ecological footprint","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001790827,0.0003341546,0.0003886559,0.00005369702,0.000209665,0.0002551129,0.0004872243,0.0001341711,0.2633072],"category_scores_gemma":[0.000002234242,0.0002381749,0.00003899242,0.00006228502,0.0001468153,0.00008459636,0.0005478496,0.00007368457,0.0006721351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008142537,"about_ca_system_score_gemma":0.00004280315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002280991,"about_ca_topic_score_gemma":0.003883862,"domain_scores_codex":[0.998379,0.00008413201,0.0002262096,0.0005942924,0.0003654992,0.0003508832],"domain_scores_gemma":[0.9991099,0.00001641571,0.0001699773,0.0005689205,0.00002140378,0.0001133294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001180989,0.0006635248,0.004725252,0.003835038,0.0003038804,0.0001388595,0.00209765,0.00005671335,0.1861592,0.001523706,0.798453,0.0008622035],"study_design_scores_gemma":[0.001531153,0.000679945,0.001576629,0.0004509236,0.0001306418,0.0001348078,0.002574329,0.00000586155,0.01003866,0.0001489056,0.981307,0.001421103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.317358,0.0009688974,0.00003631174,0.0007977193,0.0008197394,0.0008549414,0.0009853239,0.0008341623,0.6773449],"genre_scores_gemma":[0.279733,0.000219876,0.007027502,0.001853268,0.001233571,0.001069112,0.0002405365,0.0009709487,0.7076522],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2626351,"threshold_uncertainty_score":0.9712492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005250432385469348,"score_gpt":0.2035723145042403,"score_spread":0.198321882118771,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}